A Gentle Introduction to Statistics Using SASⓇ Studio

Chapter 13: Binary Logistic Regression

Introduction

Describing the Risk Data Set

Running a Binary Logistic Regression Model with a Single Predictor Variable

A Discussion about Odds Ratios

Editing SAS Studio-Generated Code

Using a Continuous Variable as a Predictor in a Logistic Model

Running a Model with Three Classification Variables

Conclusion

Chapter 13 Exercises

Introduction

In the last chapter, you learned how to create multiple regression models. Conceptually, logistic regression has some similarities to multiple regression, although the computational method (maximum likelihood) is quite different (and CPU-intensive). Multiple regression uses a set of predictor variables to predict and model a continuous outcome variable. Binary logistic ...